Solutions

Australia's AI Factories

WinDC builds and operates modular AI factories across Australia — purpose-built compute infrastructure powered entirely by renewable energy, deployed in as little as 90 days.

WinDC AI Factory modular renewable-powered compute infrastructure
~90
Days to deploy an AI factory
50%
Lower compute cost vs hyperscalers
100%
Renewable-powered compute
6.5GW+
Renewable capacity access
Definition

What Is an AI Factory?

The term AI factory was coined by NVIDIA CEO Jensen Huang to describe the next generation of compute infrastructure — facilities purpose-built to process data and produce AI intelligence at scale, just as traditional factories process raw materials into finished goods.

Unlike conventional data centres that support general-purpose IT workloads, AI factories are optimised specifically for the demands of modern AI: training large models, running high-throughput inference, and processing massive datasets continuously. They require high-density GPU clusters, specialised cooling, enormous power capacity, and low-latency interconnects.

For Australia to develop sovereign AI capability — independent of offshore cloud providers — the country needs its own AI factory infrastructure. That's what WinDC delivers.

"Data centres used to store data. AI factories produce intelligence. They are the manufacturing plants of the AI era."
Jensen Huang — CEO, NVIDIA
The Challenge

Australia Has an AI Factory Problem

Demand for AI compute in Australia is growing fast. The infrastructure to support it is not keeping pace.

01

No Sovereign AI Factory Capacity

Australian enterprises and government agencies rely heavily on hyperscaler cloud providers — sending sensitive data offshore and accepting pricing set in USD. There are no purpose-built, Australian-owned AI factories operating at scale.

02

Grid Bottlenecks Block Traditional Builds

Traditional data centre construction requires 2–5 years and grid upgrades costing hundreds of millions. With transmission infrastructure already under pressure, there is no fast path for conventional AI factory development through existing channels.

03

Stranded Renewables Go to Waste

Australia curtails billions of dollars worth of renewable energy every year because the grid cannot absorb it. Wind and solar farms generate power with nowhere to go — while AI workloads that could consume it are forced offshore.

Our Approach

How WinDC Builds AI Factories

WinDC's modular AI factory model is purpose-engineered to solve Australia's compute and clean energy challenges simultaneously — at speed.

01

Site Identification at Renewable Sources

We identify renewable generation sites — solar, wind, and hydro — with stranded or curtailed power. Deploying directly behind the meter means zero transmission losses and power costs dramatically below grid rates. Our access to 6.5GW+ of renewable capacity across Australia gives us unmatched site selection optionality.

02

Factory-Built, ISO Containerised Modules

Each WinDC AI factory unit is factory-built as an ISO containerised data centre — 20 or 40 feet — purpose-fitted with GPU-optimised racks, high-density liquid cooling, N+1 redundant power systems, and integrated fleet management. Hardware-agnostic: NVIDIA, AMD, and custom configurations supported.

03

Deployed and Operational in ~90 Days

From site assessment to live AI workloads in approximately 90 days. No grid upgrade approvals, no multi-year construction cycles, no planning bottlenecks. WinDC modules ship and commission at a pace that traditional AI factory development simply cannot match.

04

Scale by Pod, Relocate as Needed

AI factories don't need to be permanent. WinDC modules are fully intermodal and relocatable — truck, rail, or ship. Capacity scales by adding pods. If your workload requirements shift or a better renewable site becomes available, the infrastructure moves with you.

05

Verified Zero-Emission Compute with Grokens

Every AI factory workload on WinDC is verifiably powered by 100% renewable energy. Our Grokens attestation system maps your compute usage to time-matched renewable generation — providing compliance-grade carbon reporting, GPU-hour by GPU-hour.

Why WinDC

WinDC vs Traditional AI Factory Models

See how WinDC's modular AI factory approach stacks up against hyperscaler cloud and conventional data centre builds.

Criteria Hyperscaler Cloud Traditional Data Centre WinDC AI Factory
Time to Deploy Available immediately (shared) 2–5 years construction ~90 days
Compute Cost High (USD pricing) Moderate (grid costs) Up to 50% lower
Renewable Powered Offset-based Grid mix 100% at source
Data Sovereignty Offshore exposure ✓ Australian-hosted Sovereign + verified
Carbon Verification RECs / offsets Limited Grokens (GPU-hour level)
Scalability Elastic (shared) Slow, CAPEX-heavy Pod-level modular
Portability Fixed Fixed Fully relocatable
Scope 2 Emissions Varies by region Grid-dependent Zero Scope 2
Who It's For

AI Factory Capacity For Every Use Case

WinDC's AI factory infrastructure serves the full spectrum of organisations driving Australia's AI future.

🏢

Enterprise Organisations

Run proprietary AI models, inference workloads, and sensitive data processing on sovereign Australian infrastructure. Cut compute costs by up to 50% while achieving zero Scope 2 emissions — with verified carbon reporting for ESG compliance.

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☁️

Neo Clouds & AI Platforms

Access high-density, carbon-neutral GPU capacity at a fraction of hyperscaler pricing. Scale training and inference infrastructure for your customers without building or owning physical AI factory assets. WinDC handles the hardware; you focus on the platform.

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Renewable Energy Operators

Turn curtailed or low-value renewable generation into high-value AI compute revenue. WinDC deploys behind the meter at your site in ~90 days — converting stranded energy into a new income stream without requiring grid export approvals.

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🏛️

Government & Sovereign Stakeholders

Build national AI capability on Australian soil with full data sovereignty. WinDC AI factories support defence, research, and public sector workloads with verifiable zero-emission compute and infrastructure that stays within Australian jurisdiction.

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🔬

Research & HPC

Power large-scale scientific computing, machine learning research, and high-performance workloads on affordable, sovereign GPU infrastructure. WinDC gives research institutions access to carbon-neutral compute without hyperscaler pricing or offshore data exposure.

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Context

Why Australia Needs AI Factories Now

  • No sovereign AI factory capacity exists at scale

    Australian enterprises and government agencies rely on offshore hyperscalers — sending sensitive data abroad and accepting USD pricing. Australia has no purpose-built, locally owned AI factory infrastructure operating at scale.

  • Offshore dependency is a sovereign risk

    Sending AI workloads and datasets to US-based providers creates jurisdictional risk, compliance exposure, and pricing vulnerability that Australia's G20 economy cannot afford as AI becomes critical national infrastructure.

  • Billions in renewable energy wasted annually

    Australia curtails billions of dollars in clean energy every year. AI factories at renewable sites absorb this otherwise-wasted generation — creating economic value while accelerating decarbonisation.

  • Speed matters — 90 days vs 5 years

    The window to build competitive sovereign AI infrastructure is now. Traditional data centre timelines cannot meet the pace of AI adoption. WinDC's modular AI factory model is the only credible fast-path solution.

  • Regional economic opportunity

    AI factories deployed at remote and regional renewable sites create skilled technical jobs in communities that have historically missed the digital economy.

Billions
Of dollars in clean energy wasted in Australia annually due to grid constraints
2–5yr
Typical timeline for conventional AI data centre construction in Australia
~90 days
WinDC AI factory timeline — from site assessment to live AI compute
FAQ

Frequently Asked Questions

Ready to Build Australia's AI Future?

Talk to us about deploying an AI factory — whether you need sovereign compute capacity, a renewable energy monetisation strategy, or both.

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